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Orcoda (ASX:ODA) LT-Debt-to-Total-Asset : 0.13 (As of Dec. 2024)


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What is Orcoda LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Orcoda's long-term debt to total assests ratio for the quarter that ended in Dec. 2024 was 0.13.

Orcoda's long-term debt to total assets ratio increased from Dec. 2023 (0.00) to Dec. 2024 (0.13). It may suggest that Orcoda is progressively becoming more dependent on debt to grow their business.


Orcoda LT-Debt-to-Total-Asset Historical Data

The historical data trend for Orcoda's LT-Debt-to-Total-Asset can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Orcoda LT-Debt-to-Total-Asset Chart

Orcoda Annual Data
Trend Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23 Jun24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.05 0.01 0.08 0.13 0.11

Orcoda Semi-Annual Data
Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
LT-Debt-to-Total-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - 0.13 - 0.11 0.13

Orcoda LT-Debt-to-Total-Asset Calculation

Orcoda's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2024 is calculated as

LT Debt to Total Assets (A: Jun. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2024 )/Total Assets (A: Jun. 2024 )
=2.779/24.842
=0.11

Orcoda's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2024 is calculated as

LT Debt to Total Assets (Q: Dec. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2024 )/Total Assets (Q: Dec. 2024 )
=2.908/22.723
=0.13

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Orcoda  (ASX:ODA) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


Orcoda LT-Debt-to-Total-Asset Related Terms

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Orcoda Business Description

Traded in Other Exchanges
N/A
Address
8 Navigator Place, Unit 11, Hendra, QLD, AUS, 4011
Orcoda Ltd is an Australian-based technology and software company. It has two operating segments: Infrastructure Services and Transport Technology. It generates maximum revenue from the Infrastructure Services segment. The group offers transport software solutions and fleet management solutions to transportation and healthcare transport providers to manage and optimise their fleet operations. The company is also engaged in the provision of smart and traditional infrastructure, communications, and electrical contracting services in line with smart city vision, and the sale, implementation, and support of workforce software solutions, combined with management expertise and/or contracting services, to infrastructure and resources companies.

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